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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 52 1 Joint Modeling of Code-Switched and Monolingual ASR via Conditional Factorization ... Yan, Brian; Zhang, Chunlei; Yu, Meng. - : arXiv, 2021 BASE Show details 2 Source and Target Bidirectional Knowledge Distillation for End-to-end Speech Translation ... Inaguma, Hirofumi; Kawahara, Tatsuya; Watanabe, Shinji. - : arXiv, 2021 BASE Show details 3 Self-Guided Curriculum Learning for Neural Machine Translation ... Zhou, Lei; Ding, Liang; Duh, Kevin. - : arXiv, 2021 BASE Show details 4 Arabic Speech Recognition by End-to-End, Modular Systems and Human ... Hussein, Amir; Watanabe, Shinji; Ali, Ahmed. - : arXiv, 2021 BASE Show details 5 Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yoloxóchitl Mixtec ... Shi, Jiatong; Amith, Jonathan D.; García, Rey Castillo. - : arXiv, 2021 BASE Show details 6 On Prosody Modeling for ASR+TTS based Voice Conversion ... Huang, Wen-Chin; Hayashi, Tomoki; Li, Xinjian. - : arXiv, 2021 BASE Show details 7 Leveraging Pre-trained Language Model for Speech Sentiment Analysis ... Shon, Suwon; Brusco, Pablo; Pan, Jing. - : arXiv, 2021 BASE Show details 8 End-to-end ASR to jointly predict transcriptions and linguistic annotations ... NAACL 2021 2021; Fujita, Yuya; Omachi, Motoi; Watanabe, Shinji; Wiesner, Matthew. - : Underline Science Inc., 2021 Abstract: Read the paper on the folowing link: https://www.aclweb.org/anthology/2021.naacl-main.149/ Abstract: We propose a Transformer-based sequence-to-sequence model for automatic speech recognition (ASR) capable of simultaneously transcribing and annotating audio with linguistic information such as phonemic transcripts or part-of-speech (POS) tags. Since linguistic information is important in natural language processing (NLP), the proposed ASR is especially useful for speech interface applications, including spoken dialogue systems and speech translation, which combine ASR and NLP. To produce linguistic annotations, we train the ASR system using modified training targets: each grapheme or multi-grapheme unit in the target transcript is followed by an aligned phoneme sequence and/or POS tag. Since our method has access to the underlying audio data, we can estimate linguistic annotations more accurately than pipeline approaches in which NLP-based methods are applied to a hypothesized ASR transcript. Experimental ... URL: https://underline.io/lecture/19963-end-to-end-asr-to-jointly-predict-transcriptions-and-linguistic-annotations https://dx.doi.org/10.48448/g9kt-2146 BASE Hide details 9 Differentiable Allophone Graphs for Language-Universal Speech Recognition ... Yan, Brian; Dalmia, Siddharth; Mortensen, David R.. - : arXiv, 2021 BASE Show details 10 Speech Representation Learning Combining Conformer CPC with Deep Cluster for the ZeroSpeech Challenge 2021 ... Maekaku, Takashi; Chang, Xuankai; Fujita, Yuya. - : arXiv, 2021 BASE Show details 11 CHiME-6 Challenge: Tackling multispeaker speech recognition for unsegmented recordings Watanabe, Shinji; Mandel, Michael; Barker, Jon... In: CHiME 2020 - 6th International Workshop on Speech Processing in Everyday Environments ; https://hal.inria.fr/hal-02546993 ; CHiME 2020 - 6th International Workshop on Speech Processing in Everyday Environments, May 2020, Barcelona / Virtual, Spain (2020) BASE Show details 12 Learning Speaker Embedding from Text-to-Speech ... Cho, Jaejin; Zelasko, Piotr; Villalba, Jesus. - : arXiv, 2020 BASE Show details 13 Massively Multilingual Adversarial Speech Recognition ... Adams, Oliver; Wiesner, Matthew; Watanabe, Shinji. - : arXiv, 2019 BASE Show details 14 A Comparative Study on Transformer vs RNN in Speech Applications ... Karita, Shigeki; Chen, Nanxin; Hayashi, Tomoki. - : arXiv, 2019 BASE Show details 15 Multilingual End-to-End Speech Translation ... Inaguma, Hirofumi; Duh, Kevin; Kawahara, Tatsuya. - : arXiv, 2019 BASE Show details 16 Towards Online End-to-end Transformer Automatic Speech Recognition ... Tsunoo, Emiru; Kashiwagi, Yosuke; Kumakura, Toshiyuki. - : arXiv, 2019 BASE Show details 17 Transformer ASR with Contextual Block Processing ... Tsunoo, Emiru; Kashiwagi, Yosuke; Kumakura, Toshiyuki. - : arXiv, 2019 BASE Show details 18 The fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, task and baselines Barker, Jon; Watanabe, Shinji; Vincent, Emmanuel... In: Interspeech 2018 - 19th Annual Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-01744021 ; Interspeech 2018 - 19th Annual Conference of the International Speech Communication Association, Sep 2018, Hyderabad, India (2018) BASE Show details 19 Analysis of Multilingual Sequence-to-Sequence speech recognition systems ... Karafiát, Martin; Baskar, Murali Karthick; Watanabe, Shinji. - : arXiv, 2018 BASE Show details 20 Language model integration based on memory control for sequence to sequence speech recognition ... Cho, Jaejin; Watanabe, Shinji; Hori, Takaaki. - : arXiv, 2018 BASE Show details Page: 1 2 3

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